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DOI	10.1007/978-3-030-01440-7_19
	Logistic Regression-based Geomorphological Mapping in the Arabian Platform: Implications for the Paleohydrology and the Paleoclimate of the Arabian Desert
	Elkadiri, Racha; Abotalib, Abotalib Z.; Sultan, Mohamed
通讯作者	Elkadiri, R (corresponding author), Middle Tennessee State Univ, Murfreesboro, TN 37132 USA.
会议名称	1st Springer Conference of the Arabian-Journal-of-Geosciences (CAJG)
会议日期	NOV 12-15, 2018
会议地点	Hammamet, TUNISIA
英文摘要	Throughout the Quaternary, the Arabian Peninsula witnessed alternation between dry and wet periods. During the wet periods, annual precipitation significantly increased leading to recharging the fossil aquifers, elevation of the groundwater table and development of drainage systems and waterfalls along the Central Arabian Arch (CAA). Landforms that were left behind these periods provide valuable clues for deciphering the paleohydrology and paleoclimate of the Arabian Desert. Herein we used logistic regression modeling with topographic analysis to delineate theater-headed valleys (THV) along the CAA. These valleys have peculiar morphometry (e.g. theater-like heads, stubby-looking geometry, U-shaped profiles, occurrence along escarpments and propagation along fractures) and are largely attributed to groundwater sapping and/or megaflooding and water fall erosion. The model uses different topographic datasets including stream power index, plan and profile curvatures, stream density and slope gradient. The model results show that THV are abundant along the plateau escarpments and deep fluvially-incised valleys in the CAA. Additional geological, hydrological and field assessments are required to further characterize the origin of THV and examine the respective roles of groundwater processes and surface water activities in shaping the CAA landscape. This paper presents a novel mapping approach of landforms on a regional scale.
英文关键词	Machine learning Mapping Theater-headed valleys Central Arabian arch Groundwater sapping Paleohydrology
来源出版物	ADVANCES IN REMOTE SENSING AND GEO INFORMATICS APPLICATIONS
ISSN	2522-8714
EISSN	2522-8722
出版年	2019
页码	77-79
ISBN	978-3-030-01440-7; 978-3-030-01439-1
出版者	SPRINGER INTERNATIONAL PUBLISHING AG
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000623519000019
WOS类目	Environmental Sciences ; Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing
WOS研究方向	Environmental Sciences & Ecology ; Physical Geography ; Geology ; Remote Sensing
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/370203
作者单位	[Elkadiri, Racha] Middle Tennessee State Univ, Murfreesboro, TN 37132 USA; [Abotalib, Abotalib Z.] Univ Southern Calif, Viterbi Sch Engn, Los Angeles, CA 90089 USA; [Abotalib, Abotalib Z.] NARSS, Dept Geol Applicat, Cairo 1564, Egypt; [Sultan, Mohamed] Western Michigan Univ, Kalamazoo, MI 49008 USA
推荐引用方式 GB/T 7714	Elkadiri, Racha,Abotalib, Abotalib Z.,Sultan, Mohamed. Logistic Regression-based Geomorphological Mapping in the Arabian Platform: Implications for the Paleohydrology and the Paleoclimate of the Arabian Desert[C]:SPRINGER INTERNATIONAL PUBLISHING AG,2019:77-79.